Asset Class Correlation Map | Guggenheim Investments (2024)

Is your portfolio diversified?

If you’re investing in asset classes that perform similarly—especially in downward-moving markets—the answer could be no.

On the contrary, investing in asset classes that demonstrate little or no correlation1 to one another may help you enhance diversification and reduce portfolio volatility. While diversification can neither ensure a profit nor eliminate the risk of experiencing investment loss, the ideal scenario is to have a mixture of non-correlated asset classes in an attempt to reduce overall portfolio volatility and generate more consistent returns over the long-term.

This table illustrates how various asset classes historically correlate to one another. A correlation of 1.00 indicates perfect correlation, while lower numbers indicate that the asset classes are not correlated and generally do not move in tandem with each other—or, when the market moves down, these asset classes may not fall as much as the market in general, which could mitigate risk in your portfolio.

PositiveNegative
High0.7-1.0(0.7)-(1.0)
Moderate0.4-0.7(0.4)-(0.7)
Low0.0-0.4(0.0)-(0.4)
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Source: Calculated by Guggenheim Investments using data from Bloomberg.com and Standardandpoors.com. Performance displayed represents past performance, which is no guarantee of future results.

1 Correlation is a measurement between -1 and 1, which indicates the linear relationship between two variables. If there is no relationship between two variables, the correlation coefficient is 0. If there is a perfect relationship, the correlation is 1. And if there is a perfect inverse relationship, the correlation is -1.

The aforementioned strategies are not sponsored, endorsed, sold, or promoted by Standard and Poor’s and Standard & Poor’s makes no representation regarding the advisability of investing in these strategies. Standard and Poor’s is not affiliated with Guggenheim Investments.

Modern Markets Asset Classes

Many investors who believe their portfolios are diversified may not be as diversified as they think. That’s because traditional portfolios are typically comprised of only stocks, bonds and cash. While stocks and bonds may provide some diversification*, there are other investment opportunities that could provide even more.

Diversifying to reduce risk

As shown in the chart below, adding new or different asset classes–that is, those beyond stocks, bonds and cash–might provide opportunity for increased portfolio diversification through exposure to assets with no or low correlation to traditional investments. In addition, it could potentially generate more consistent returns over the long-term and help reduce overall portfolio volatility.

Historical Correlation of Various Asset Classes vs. S&P 500® January 2013–December 2023

Chart

Correlation is a statistical measure of how two variables move in relation to each other. This measure ranges from -1 to +1, where -1 indicates perfect negative correlation and +1 indicates perfect positive correlation.

This information is intended to be general in nature and should not be construed as investment advice nor a recommendation of any specific security or strategy. The index returns used to calculate the correlations do not reflect any management fees, transaction costs or expenses. The indices are unmanaged and are not available for direct investment. Index information is provided for illustrative purposes and is not meant to represent the performance of a fund.

Investing in alternative investments may not be suitable for all investors and involves special risks such as risk associated with short sales, leveraging the investment, potential adverse market forces, regulatory changes, and potential illiquidity. Investing in alternative strategies presents the opportunity for significant losses. There is no assurance that the investment objective will be attained.

*Diversification neither assures a profit nor eliminates the risk of experiencing investment losses.

Performance displayed represents past performance, which is no guarantee of future results. Correlations are calculated using the monthly total returns of each index. All correlations are measured vs. the S&P 500 Index. Index information is provided for illustrative purposes only and is not meant to represent the performance of a fund. The index returns do not include any management fees, transaction costs or expenses. The indices are unmanaged and are not available for direct investment. This information is subject to change at any time, based on market and other conditions, and should not be construed as a recommendation of any specific security. Data source: Calculated by Guggenheim Investments using information from Bloomberg.com, Barclays.com and Standardandpoors.com. There are special risk considerations with each of the strategies mentioned and they are not suitable for all investors. None of the investment strategies can guarantee a return in a declining market. Additionally, an investor could lose all or a substantial amount of their investment.

Securities are not deposits or obligations of any bank, are not guaranteed by any bank, are not insured by the FDIC or any other agency, and involve investment risks, including the possible loss of the principal amount invested.

Guggenheim Investments represents the investment management businesses of Guggenheim Partners, LLC ("Guggenheim"). Securities offered through Guggenheim Funds Distributors, LLC, an affiliate of Guggenheim Partners, LLC.

Not FDIC insured. Not bank guaranteed. May lose value. RRTO-5-0124x0125 #60104

Asset Class Correlation Map | Guggenheim Investments (2024)

FAQs

How do you find the correlation between asset classes? ›

Key Takeaway: The correlation of assets X and Y is equal to the covariance of x and y divided by the standard deviation of each.

How do you find the correlation between two investments? ›

Find the mean for the x-variable and find the mean for the y-variable. Subtract the mean of the x-variable from each value of the x-variable. Repeat this step for the y-variable. Multiply each difference between the x-variable mean and x-variable value by the corresponding difference related to the y-variable.

What is a good asset correlation? ›

A correlation of 1.00 indicates perfect correlation, while lower numbers indicate that the asset classes are not correlated and generally do not move in tandem with each other—or, when the market moves down, these asset classes may not fall as much as the market in general, which could mitigate risk in your portfolio.

How do you read an investment correlation matrix? ›

A healthy correlation matrix

The matrix is color coded according to the degree of correlation: dark blue represents high correlation, light blue is moderate, grey is neutral, light orange is moderately negative and orange represents highly negative correlation.

What is the easiest way to calculate correlation? ›

Here are the steps to take in calculating the correlation coefficient:
  1. Determine your data sets. ...
  2. Calculate the standardized value for your x variables. ...
  3. Calculate the standardized value for your y variables. ...
  4. Multiply and find the sum. ...
  5. Divide the sum and determine the correlation coefficient.
Jul 31, 2023

What is an example of asset correlation? ›

As we mentioned, a positive correlation between two assets means that they move in the same direction at the same time. And the more closely correlated they are, the more similar their movements are. For example, if a stock gains 5% and is perfectly correlated to another stock, that other stock would also gain 5%.

What is the formula correlation portfolio? ›

The Formula of the Correlation Matrix: Correlation of two stocks = Covariance of (StockA, StockB) / (Standard Deviation of Stock A x Standard Deviation of Stock B)

How do you calculate correlation between two assets in Excel? ›

To calculate the correlation in an Excel spreadsheet, you can use the CORREL() function. Let's look at an example. To determine the correlation between them: Select a blank cell at the bottom of column B and enter the formula: =CORREL(A2:A7, B2:B7) where A2:A7, B2:B7 represent the range of data to include.

How to calculate correlation analysis? ›

The correlation coefficient formula is: r = (n*sumXY - sumX*sum Y)/sqrt{(n*sumX^2 - (sumX)^2)*(n*sumY^2 - (sumY^2))}.The terms in that formula are: n = the number of data points, sumXY is the sum of the product of the x-value and y-value for each point in the data set, sumX is the sum of the x-values in the data set, ...

What is a strong enough correlation? ›

Correlation coefficients whose magnitude are between 0.7 and 0.9 indicate variables which can be considered highly correlated. Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated.

What is the correlation formula for assets? ›

The formula for correlation is equal to Covariance of return of asset 1 and Covariance of asset 2 / Standard. Deviation of asset 1 and a Standard Deviation of asset 2. Correlation is based on the cause of effect relationship, and there are three kinds of correlation in the study, which is widely used and practiced.

What is the ideal correlation for a portfolio? ›

Correlation Risk Management
ASSET'S CORRELATION RANGEDIVERSIFICATION VALUE IN PORTFOLIO
0.6 to 0.7Good
0.7 to 0.8OK to poor
0.8 to 0.9Poor to bad
0.9 to 1.0Worthless
3 more rows
May 1, 2010

How do you calculate correlation between investments? ›

To find the correlation between two stocks, you'll start by finding the average price for each one. Choose a time period, then add up each stock's daily price for that time period and divide by the number of days in the period. That's the average price. Next, you'll calculate a daily deviation for each stock.

What assets are not correlated to stocks? ›

What Are Examples of Non-Correlated Assets?
  • Precious Metals. Valuable metals can enhance your portfolio, such as: ...
  • Real Estate. Real estate is another essential type of uncorrelated asset. ...
  • Cryptocurrencies. Cryptocurrencies and other digital assets are also considered non-correlated assets. ...
  • Collectibles.
Mar 4, 2024

What are perfectly correlated assets? ›

Correlation is measured on a scale of -1.0 to +1.0: If two assets have an expected return correlation of 1.0, that means they are perfectly correlated.

How to find correlated assets? ›

To find the correlation between two stocks, you'll start by finding the average price for each one. Choose a time period, then add up each stock's daily price for that time period and divide by the number of days in the period. That's the average price. Next, you'll calculate a daily deviation for each stock.

What is the correlation between classes? ›

In statistics, the interclass correlation (or interclass correlation coefficient) is a measure of a relation between two variables of different classes (types), such as the weights of 10-year-old sons and of their 40-year-old fathers.

What is the relationship between correlation of assets? ›

Definition of Asset Correlation

A zero correlation indicates there is no relationship between the assets. A +1 indicates an absolute positive correlation (they always move together in the same direction). A -1 indicates an absolute negative correlation (they always move together in opposite directions of each other).

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